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Study on Outdoor Thermal Comfort in the Transitional Season of Hefei

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2020Publisher:EDP SciencesJournal:E3S Web of Conferences, volume 165, page 1,026 (eissn: 2267-1242,

Authors: Zheyao Peng; Jinwei Li; Lilin Zhao; Zijian Wang; Taotao Shui;

doi: 10.1051/e3sconf/202016501026

Study on Outdoor Thermal Comfort in the Transitional Season of Hefei

- Summary
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Abstract

In order to study the outdoor thermal comfort during the transition season in Hefei, a university in Hefei adopted a combination of field environmental measurements and questionnaires to study the changes in thermal sensation and thermal comfort of outdoor people before and after the transition season. The rankings of the effects of temperature, wind speed, humidity, and solar radiation on human thermal comfort were obtained through surveys, and the proportion of each parameter’s influence on human thermal comfort was analyzed. The relationship between thermal sensation and thermal comfort was analyzed, and the application was established through regression analysis Prediction model of thermal sensation in autumn and winter outdoor environment in Hefei area.

Related Organizations

Anhui Jianzhu University
China (People's Republic of)

Keywords

Environmental sciences, GE1-350

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average